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āļāļąāļāļĐāļ°:
Data Analysis, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead strategic projects focused on maximizing productivity and optimizing Customer Service operations, ensuring timely delivery and measurable business outcomes.
- Conduct end-to-end data analysis and deep-dive root cause analysis (RCA) on core CS metrics to identify friction points and deliver actionable, data-driven insights to management.
- Create, maintain, and optimize reporting infrastructure (dashboards and recurring reports) using BI tools to answer key business questions and monitor operational healt ...
- Drive efficiency improvements and support AI/automation initiatives by providing data groundwork, analysis, and validation required for implementation and tracking ROI.
- Serve as the primary Data Liaison between the Customer Service Operations team and the Business Intelligence (BI)/Data Engineering teams, translating challenges into precise data requirements.
- Communicate complex analytical findings and strategic recommendations to senior management and cross-functional stakeholders in a clear, concise, and logical manner.
- Requirements: Bachelor's Degree in any related field.
- Strong understanding of statistical concepts (e.g., hypothesis testing, correlation, regression) to identify trends, measure the impact of initiatives, and conduct root cause analysis.
- Proficiency in Microsoft Excel/Google Sheets and BI tools for data cleaning, ad-hoc analysis, and design, build, and maintain actionable dashboards and reports.
- Strong interpersonal skills for collaborating with other teams (BI, Marketing, Product) and managing expectations while driving consensus.
- Ability to own and drive initiatives to measurable completion, delivering productivity improvements as outlined in the overview.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
7 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Financial Modeling, Cash Flow Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ45,000 - āļŋ85,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ.
- āļāļąāļāļāļģ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļ āļāļĨāļāļāļāđāļāļ āđāļĨāļ°āļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļĄāļīāļāļīāļāđāļēāļ āđ āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļāļāļēāļāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļĨāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļāļąāđāļāđāļāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ āđāļāļ·āđāļ āļāļģāļĄāļē āļāļĢāļ°āđāļĄāļīāļāđāļāļāļēāļŠāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāļ°āđāļāļīāļāļāļķāđāļ.
- āļ§āļēāļāđāļāļ āļāļģāļŦāļāļ āđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļ āļēāļĒāđāļāđāļāļĢāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļŦāđāļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļĩāļĄāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļīāļĻāļāļēāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāđāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļāļŦāļĢāļ·āļāļāļąāđāļāļŦāļĄāļāļāļāļāļāļāļāļēāļāļāļēāļ āļāļąāļāļāļĩāđ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļāļēāļĢāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļ āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āļ§āļēāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĨāļāļāļāđāļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļĻāļķāļāļĐāļēāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļĢāļ°āļāļāđāļĨāļ°āđāļāļāļēāļŠāđāļāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļāļąāļāļāļĢāļ°āļāļļāļĄāļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļĨāļāļāļļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļāļāļĒāđāļēāļāļāđāļāļĒāđāļāļĢāļĄāļēāļŠāļĨāļ°āļŦāļāļķāđāļāļāļĢāļąāđāļ āļŦāļĢāļ·āļāđāļĄāđāļāđāļāļĒāļāļ§āđāļēāļāļĩāļĨāļ°āļŠāļĩāđāļāļĢāļąāđāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļŠāļĢāļīāļĄāļŠāļĢāđāļēāļāļĻāļąāļāļĒāļ āļēāļāļāļāļāļāļĩāļĄ.
- āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āļāđāļēāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāđāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļāļēāļāļēāļĢ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļīāļĐāļąāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđāļāļąāļāļāļēāļĢāļāļāļāļāļļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļāļĢāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļāđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļāļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģ Financial Forecast, Cashflow Projection āđāļĨāļ° Feasibility Study.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļ āļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļ āđāļāļĒāļāđāļēāļāļāļīāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļĨāļ°āđāļāļ§āđāļāđāļĄāļāļĨāļēāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļĄāļđāļĨāļāđāļēāđāļĨāļ°āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ S.W.O.T. (Strengths, Weakness, Opportunities, Threats) āđāļāļ·āđāļāļĢāļ°āļāļļāļāļļāļāđāļāđāļ āļāļļāļāļāđāļāļ āđāļāļāļēāļŠ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļ.
- āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāđāļĨāļ°āļāļēāļĢāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ āđāļāđāļ āļāđāļēāļĒāļāļąāļāļāļĩ āļāđāļēāļĒāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļīāļāļāđāļāđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļ āđāļāđāļ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļ·āļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļģāļāļąāļāļāļđāđāļĨ.
- āļāļēāļĢāļāļīāļāļāđāļāļāđāļēāļ§āļŠāļēāļĢāđāļĨāļ°āļāļąāļāļāļąāļĒāļ āļēāļĒāļāļāļāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄ āđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļĨāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāđāļĒāļāļēāļĒāļ āļēāļāļĢāļąāļ āļāļĩāđāļāļēāļāļŠāđāļāļāļĨāļāđāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļąāļĒāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļ āļāļĩāđāļāļēāļāļāļĢāļ°āļāļāļāđāļāļāļĢāļīāļĐāļąāļ āļāļąāđāļāđāļāđāļāļīāļāļāļ§āļāđāļāļīāļāļĨāļ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļĢāļąāļāļĄāļ·āļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāđāļĨāļ°āļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļāļ āļēāļĢāļāļīāļāļāļĩāđāļāļģāļŦāļāļ.
- āđāļāđāļĢāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļāļļāļāļ§āļļāļāļīāļāļĒāđāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāļĒāļāđāļāđāļĢāļ°āļāļąāļāđāļāļĩāļĒāļ§āļāļąāļāđāļāļŠāļēāļāļēāļ§āļīāļāļēāđāļ āļŠāļēāļāļēāļ§āļīāļāļēāļŦāļāļķāđāļ āļāļēāļāļāļēāļĢāđāļāļīāļ āļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āđāļĻāļĢāļĐāļāļŠāļēāļŠāļāļĢāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāļāļĢāļąāļāļĒāđāļŦāļĢāļ·āļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 7-10 āļāļĩ āđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĢāļ°āļāļąāļāļāļĢāļīāļŦāļēāļĢ 3-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāđāļāļĢāļāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļĨāļēāļāļāļļāļ āļāļĨāļēāļāđāļāļīāļ āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļĨāļāļāļļāļāļāļąāđāļāđāļāļāļĢāļ°āđāļāļĻāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāđāļāļĢāđāļāļĢāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļīāļāļāđāđāļ§āļĢāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļāđ (āđāļāđāļ SETSMART, SETTRADE Streaming, Bisnews, ThaiBMA Bloomberg, Reuters āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĢāļīāļĄāļēāļ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āļāļ§āļēāļĄāļĢāļđāđ āļāļąāļāļĐāļ° āđāļĨāļ°āļŠāļĄāļĢāļĢāļāļ°āļāļĩāđāļāļģāđāļāđāļāđāļāļāļēāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 7-10 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļģāđāļŦāļāđāļ āļāļđāđāļāļąāļāļāļēāļĢ āļŦāļĢāļ·āļ āļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ° āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļąāđāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ Excel, Power BI āļŦāļĢāļ·āļāļāļāļāļāđāđāļ§āļĢāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĩāđāļĒāļ§āļāļąāļ Financial Modeling, Cashflow Management, āđāļĨāļ° Risk Management.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļĢāļ°āļāļąāļāļāļĩ.
- āļāļēāļĄāļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļ āļāļĢāļ°āļāļēāļĻāļāļēāļĄāļāļģāđāļŦāļāđāļāļāļēāļ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Python, SQL, Database Administration, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ35,000 - āļŋ45,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Guide and train new customers to confidently use our system.
- Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
- Analyze and manage customer data to ensure readiness for real-time use.
- Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
- Travel and visit customer sites.
- Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
- Proficiency in Excel and SQL; Python skills are a plus.
- Excellent communication skills in both Thai and English.
- Adaptable, quick to learn, and able to work under pressure.
- Educational background in IT, Computer Science, or related fields is preferred.
- Allows you to apply your skills in data, technology, and customer service.
- Supports your personal and professional development.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
8 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Linux, UNIX, System Administration
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's degree in a technical field or equivalent practical experience.
- 8 years of experience in computing infrastructure, networking, operating systems, or hardware.
- 5 years of experience managing technical, vendor, agreement management, or delivery teams.
- Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
- Experience working in data center environments, including building and operating large-scale infrastructure, and network and compute architecture and life-cycle, and Linux/Unix system administration.
- Experience in installing, configuring, testing, troubleshooting and maintaining hardware servers and its components.
- Experience with initiating and executing initiatives in a global environment.
- Ability to lead and improve Environmental Health and Safety initiatives.
- Excellent performance with data gathering, analysis and presentation skills.
- Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.
- Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.
- In this role, you will lead a team of Data Center Technicians who perform quality installations of server and network hardware and their components, and maintain and troubleshoot any tests while modeling teamwork with a positive impact to site culture. You will also manage day-to-day operations and guide the team through the installation, configuration, testing, troubleshooting and decommissioning of our servers. In a similar fashion, you will also oversee the deployment of network components of the data center, lead teams on installations and develop project contingency plans. The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
- We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
- Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
- Partner with teams to meet goals and stakeholders to manage facility activities and set/implement short and long-term strategies.
- Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
- Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
- Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Excel, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
- Does cross coding and item-related quality checks on a daily basis.
- May act as a back-up to other coders when needed; conduct physical store check to validate item-related information.
- Keep track/document special instructions related to category assignment.
- Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
- Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement.
- Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
- Willing to be trained to be a category expert.
- Qualifications Bachelor s degree in Mathematics / Computer Science / Business Admin / Statistics or any relevant subjects.
- Fresh graduate or with 1 year experience in data and operational areas are welcome.
- FMCG background or experience as an encoder is a plus.
- Able to work as part of a team in a multicultural environment.
- Passionate in data. A high degree of accuracy, proactivity, good analytical skill and logical thinking.
- High level of accountability and willingness to take ownership.
- Eager to learn and willingness to grow.
- Excel is mandatory; One or more of the following would be added advantage: (SQL, R or Python).
- Proactively, willing to voice out and share opinion.
- Excellent written and verbal communication skills in English and Thai language proficiency is required.
- This is a 3 months contract role.
- Additional InformationNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including rÃĐsumÃĐ screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
- Our Benefits.
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee-Assistance-Program (EAP).
- About NIQ.
- NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
- For more information, visit NIQ.com.
- Want to keep up with our latest updates?.
- Follow us on: LinkedIn | Instagram | Twitter | Facebook.
- Our commitment to Diversity, Equity, and Inclusion.
- At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.
āļāļąāļāļĐāļ°:
ISO 27001, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢ Monitoring āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļąāļāļāļēāļĢāļĢāļ°āļāļāļāļ·āđāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļ āđāļāļāđāļē āđāļĨāļ°āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļēāļĢ.
- āļāļāļāļŠāļāļāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļ āļāļēāļĢāļāļīāļāļāļąāđāļāđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāļĢāļ°āļāļāļāļāļāļāļđāđāļāļĢāļīāļāļēāļĢ (vendor) āđāļāļ·āđāļāđāļŦāđāļāļđāļāļāđāļāļāđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļēāļĄāļŦāļĨāļąāļāļāļāļīāļāļąāļāļī.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļēāļĢāļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāđāļĨāļ°āļāļēāļĢāļāđāļāļĄāđāļāļĄ (Preventive Maintenance) āļĢāļ°āļāļāļāļ·āđāļāļāļēāļāļāđāļēāļāđ āđāļāļĢāļ·āđāļāļāļāļģāđāļāļīāļāđāļāļāđāļē Generator, āđāļāļĢāļ·āđāļāļāļŠāļģāļĢāļāļāđāļāļāđāļē UPS, āļĢāļ°āļāļāļāļđāđāđāļāļāđāļē, āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āđāļĨāļ°āļāļēāļĢāļāļīāļāļāļąāđāļāļāļļāļāļāļĢāļāđāļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒ (Network) āđāļāđāļāļāđāļ.
- āđāļāđāļ 1st level support & troubleshooting āļāļāļāļĢāļ°āļāļ Facility āđāļ Data Center āđāļāđāļ āļĢāļ°āļāļ Network, āļĢāļ°āļāļāđāļāļāđāļē, āļĢāļ°āļāļāļāļĢāļąāļāļāļēāļāļēāļĻ āđāļāđāļāļāđāļ.
- āļāļąāļāļāļģāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļģāļāļēāļāđāļāļāļēāļĢāļāļđāđāļĨāļĢāļ°āļāļāļāļ·āđāļāļāļēāļ āđāļāļĒāļāļīāļāļāļēāļĄāļĄāļēāļāļĢāļēāļāļēāļ ISO āļŦāļĢāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (āđāļāđāļ ISO 20000 āļāđāļēāļāļāļĢāļīāļāļēāļĢ, ISO 27001 āļāđāļēāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ,ISO 50001 āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļĨāļąāļāļāļēāļ āđāļĨāļ°āļāļ·āđāļāđ āđāļāđāļ ISO22301, PCIDSS, TCOS) āļĢāļ§āļĄāļāļąāđāļāļĢāļđāļāđāļāļāđāļāļāļąāļāļāļķāļ, āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ.
- āļŠāļĢāļļāļāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĨāļŠāļģāļŦāļĢāļąāļāļāļąāļāļŦāļēāļ§āļīāļāļĪāļāļīāđāļ āđ āļāđāļāļŦāļąāļ§āļŦāļāđāļēāļāļĩāļĄ āļĢāļ§āļĄāļāļąāđāļ āļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļāļīāļāļī,āļĢāļēāļĒāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļāļĢāļēāļĒāļ§āļąāļ, āļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āļāđāļ§āļĒ.
- Bachelor s degree in electrical power, mechanic or related fields.
- Thai nationality, Male, Age 20 - 25 years old.
- Have basic technical knowledge in Data Center facilities (Electrical/Mechanical).
- Able to work under pressure.
- Able to work with a team.
- Fair communication in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
- Extract insights from large and complex datasets using a variety of tools and techniques.
- Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
- Present findings and recommendations to stakeholders in a clear and compelling manner.
- Implement data-driven solutions in various environments, including integration with existing systems and processes.
- Stay up to date on the latest development in data science and bring new idea and technology to the team.
- Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
- Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
- 4+ years of experience as a Data Scientist, with a focus on industries.
- Descriptive Analytics.
- Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
- Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
- Experience with statistical and machine learning techniques.
- Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
- Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
- Strong problem-solving and communication skills.
- Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
- Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
- Location: True Digital Park, Bangkok.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop machine learning models such as credit model, income estimation model and fraud model.
- Research on cutting-edge technology to enhance existing model performance.
- Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
- Develop sentimental analysis model in order to support collection strategy.
- Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
- 2-5 years of experiences in programming languages such as Python, SQL or Scala.
- 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
- Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
- Experience with source version control (Git, Bitbucket).
- Proven knowledge on Rest API, Docker, Google Big Query, VScode.
- Strong analytical skills and data-driven thinking.
- Strong understanding of quantitative analysis methods in relation to financial institutions.
- Ability to clearly communicate modeling results to a wide range of audiences.
- Nice to have.
- Experience in image processing or natural language processing (NLP).
- Solid understanding in collection model.
- Familiar with MLOps concepts.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Act as internal consultant to support strategy development and lead execution of key strategic projects.
- Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
- Work with head of department to plan and allocate partnership budget across channels.
- Develops and maintains productive working relationships with team members.
- Tracking business performance and create monthly summary report.
- Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
- At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
- Experience in consultancy companies Big4 is a plus.
- Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
- Creative problem solver.
- High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
- report is a plus.
- Location: True Digital Park, Punnawithi.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementation of Mechanical such as comfort air, precision air.
- Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
- Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
- Bachelor degree of Engineering, Mechanical engineering or related field.
- At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
- At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
- Able to Air - Diagram and Psychrometric chart knowledge.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial.
- Work Location: TrueIDC - Bangna Site (KM26).
āļāļąāļāļĐāļ°:
DevOps, Automation, Kubernetes
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Managing 7-8 Professional Service Engineers in responsible for AWS cloud solution architecting and implementation/migration according to the project requirements.
- Team resources management.
- Acting as the key of Cloud technical aspect for the consulting team to provide the technical of AWS cloud consulting to customers.
- Design AWS Cloud solution architecture in response to the client s requirement.
- Define the scope of work & estimate mandays for cloud implementation.
- Managing cloud project delivery to meet the customer requirements timeline.
- Support AWS, GCP cloud partner competency building e.g. AWS Certification and delivery professional service process and documentation.
- Speaker of AWS technical side for True IDC webinar, online event for CloudTalk.
- Key Driving for building team competency expansion to meet the competency roadmap yearly strategy e.g. DevOps, IaC, Automation, Kubernetes, App modernization on AWS cloud.
- Experience in leading cloud AWS implementation and delivery team.
- Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies for AWS, GCP is plus.
- Experience in infra as a code in cloud native (Cloud Formation) or other e.g. Terraform, Ansible implementation.
- Experience in building multi-tier Service Oriented Architecture (SOA) applications.
- Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture to the Cloud.
- Knowledge of OS administrative for both Windows and UNIX technologies.
- Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
- Knowledge of Kubernetes, Containers and CI/CD, DevOps.
- Experience with RDBMS designing and implementing over the Cloud.
- Prior experience with application development on the various development solutions as Java,.Net, Python etc.
- Experience in,.Net and/or Spring Framework and RESTful web services.
- UNIX shell scripting.
- AWS Certified Solution Architect - Associate, Prefer Professional level.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
AutoCAD, Visio, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for planning preventive maintenance schedules for the electrical system.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
- Bachelor degree of Engineering, Electrical engineering or related field.
- More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
- At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
- Able to use the program AutoCAD, Visio.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial for both reading and writing.
- Work Location: TrueIDC - Bangna Site (KM26).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Python, ETL, Java
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
- Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
- Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
- Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
- Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
- Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
- Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
- Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
- Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
- Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
- Knowledge of data modeling principles and experience working with SQL databases.
- Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Location: True Digital Park, Bangkok (Hybrid working).
āļāļąāļāļĐāļ°:
SAP, Linux, Apache
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
- Design Cloud solution architecture in response to the client s requirement.
- Provide advisory consulting service to the client regarding the True IDC Consulting practices.
- Create Cloud technical requirements to the client s migration plan.
- Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
- Experience in building multi-tier Service Oriented Architecture (SOA) applications.
- Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
- Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
- Knowledge of Containerization administrative for both Windows and Linux technologies.
- Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
- Good in customer objective handling & Good in customer presentation skill.
- Nice to have.
- UNIX shell scripting.
- AWS Certified Solution Architect - Associate.
- GCP Certified Solution Architect - Associate.
āļāļąāļāļĐāļ°:
Data Analysis, SQL, Problem Solving, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
- Implement data solutions and data comprehensiveness for data customers.
- Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
- Retrieve and prepare data (automated if possible) to support business data analysis.
- Ensure adherence to the highest standards in data privacy protection and data governance.
- Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
- Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
- Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
- Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
- Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
- Experience in data processing batch / real time / nearly realtime.
- Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
- Experience with web or software development with Java,Python or similar.
- Experience with Agile methodology is a plus.
- Good in communication and writing in English.
- Good interpersonal and communication skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Quality Assurance, Assurance, Data Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Perform daily operational tasks such as quality inspection, guidelines and process optimization, queue assignment, and handling escalations for the evaluation project.
- Work closely with stakeholders to stay updated on guideline developments and provide feedback on implementation and execution.
- Conduct daily audits on an internal system and provide error analysis and feedback to stakeholders (R&D & Product Manager).
- Monitor the quality scores of evaluators and conduct root cause analysis with the management team.
- Monitor project data, record daily output and quality scores, prepare data analysis/reports for projects, and validate reports and data provided to stakeholders/partners.
- Localize the guidelines and design training schedules and coordinate and liaise with key stakeholders to ensure the successful go live within the targeted timeframe.
- Deliver process/product/guideline training to new joiners.
- Play a role in setting up product knowledge tests, sharing result analysis, and working with key stakeholders to improve the product knowledge of the team.
- Minimum QualificationsCompletion of Bachelor's degree or above.
- Proficiency in English and Thai as working languages.
- 1 year of experience in Quality Analyst/Quality Assurance, particularly in search engine evaluation.
- Familiarity with search engines, social media algorithms, and SEO.
- Demonstrated computer proficiency with Office software.
- Deep understanding of local culture and internet usage habits.
- Attention to detail and ability to use data analysis to identify trends.
- Job Information
- About TikTok
- TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
- Why Join Us
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
- Diversity & Inclusion
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
āļāļąāļāļĐāļ°:
Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Proven success in achieving and exceeding sales and financial goals in a technology or services environment.
- Proficiency in delivering engaging sales presentations and using a team-selling approach.
- In-depth understanding of IT managed services and competitive sales strategies.
- Strong negotiation skills to craft beneficial solutions for customers, partners, and the organization.
- Attention to detail in maintaining accurate sales forecasts and close plans.
- Extensive experience in selling complex DATA center technology solutions and services to senior-level clients.
- Strong ability to develop and encourage meaningful customer relationships up to senior leadership levels.
- Client-centric approach with a knack for identifying customer problems and crafting best-fit solutions.
- Flexibility to adapt quickly to new challenges and urgent deadlines.
- Bachelor's degree in information technology/systems, sales, or a related field.
- Industry/Vendor sales certifications required.
- On-site Working About NTT DATA
- NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
- Equal Opportunity Employer
- NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Python, SQL, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collect, clean, and manipulate large datasets using Python, Pandas, SQL, and other analytical tools.
- Create Automation Pipelines using Databricks.
- Write and maintain scripts using Python per business need.
- Ensure data integrity and accuracy across systems (Salesforce and others).
- Data Visualization & Dashboard Development Develop and maintain dashboards (Power BI, excel).
- Build interactive dashboards with filters, drilldowns, and client segmentation views.
- Provide actionable insights and recommendations to improve customer experience and business performance.
- Collaboration Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
- What You Will Bring 3+ years of experience in data analytics or business intelligence.
- Strong problem-solving skills and ability to communicate insights effectively.
- Solid skills in Python and SQL.
- Good Understanding of Databricks Notebook and Pipelines.
- Familiarity with CRM systems and customer data structures (preferred).
- Experience in retail, luxury, or customer-centric industries is an advantage.
- Willingness to start on a 1-year contract, with the possibility of renewal.
- What Chanel Can Offer You The chance to work with a world-renowned luxury brand known for heritage and innovation.
- Supportive, team-oriented culture that values your contributions.
- At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience, and potential you could bring to Chanel.
āļāļąāļāļĐāļ°:
Assurance, Fast Learner, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Working both independently, and in collaboration with stakeholders, to deliver high performance standards across all relevant projects, and develop a best practice model for maintaining high performance on those projects.
- Facilitate regular calibration meetings with stakeholders to maintain knowledge & quality standards, and provide feedback on implementation and execution.
- Work closely with the Policy POC to disseminate policy updates and knowledge to your teams, and facilitate efficient & timely communication of policy questions between ...
- Perform daily audits and provide analysis of errors and feedback to respective teams.
- Compile & deliver regular performance data reports to SME & management teams as required.
- Conduct regular RCA escalations through the relevant process.
- Identify and assess areas for performance improvement across relevant markets, and be solution driven and proactive in delivering these solutions.
- Participate in or lead policy briefings to ensure any changes are consistent and in line with cultural, socio, geographical and political conditions.
- Balance efficient delivery of tasks in each queue through relevant platforms such as TCS or Rock Appeal.
- Be able & willing to support or backfill temporary gaps in market support.
- Be able to support the internal onboarding team to further develop onboarding training SOP's & materials, as well as ongoing legacy planning.
- Perform regular queue moderation, or participate in knowledge quizzes when required, to maintain policy implementation skills.
- Design/help to design a training plan and implement it according to the timeline.
- Please note that this position involves exposure to sensitive content, including but not limited to vulgar content, violence, pornography, and fake news.
- Minimum Qualification(s)You are a good communicator, proficient in English and Thai as this role will cover Thailand market.
- A fast learner who has the ability to embrace a fast-paced working environment.
- Preferred Qualification(s)Experience in Content Moderation/Content Quality/Content Safety/Labeling/Annotation will be an added advantage.
- Demonstrate a broad understanding of our business needs, strategic thinking skills and ability to make good decisions in complex situations.
- Familiar with the business logic of labeling and working mode of the upstream and downstream teams.
- Comfortable reporting to, or collaborating with, a broad range of XFN partners.
- Presentation skills, good communication and interpersonal skills.
- Job Information
- About TikTok
- TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
- Why Join Us
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
- Diversity & Inclusion
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Procurement
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's Degree or equivalent practical experience.
- 5 years of experience in bidding, designing, operating, and commissioning of electrical systems.
- Experience with mission critical facility s electrical infrastructure systems.
- Knowledge of electrical systems commissioning.
- Knowledge of mechanical and control systems.
- Ability to travel internationally up to 25% of the time needed.
- Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
- With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
- As a Data Center Electrical Engineer, you will be involved in program level engineering projects and the modification of existing infrastructures. You will provide and prepare all types of documents including engineering reports, design documents, Total Cost of Ownership (TCO) analysis, drawing markup, budget, schedule, and more.
- In this role, you will also take project execution level responsibility in ensuring our facilities build execution meets project specific goals on safety, quality, schedule, and cost. You will provide guidance and leadership to all stakeholders involved in the project (e.g., AE, GC, S/C on mechanical discipline related issue to the resolutions).Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
- Collaborate with the core team to understand, develop and update the data center mechanical designs, starting from Basis of Design (BOD) to Issue for Constructions (IFC) documents, for data center project build-outs and major infrastructure upgrades to all levels of testing and commissioning works.
- Manage mechanical (power supply, monitoring, and control), support procurement in Statement of Work (SOW) preparation, bid technical clarification, be accountable for key mechanical equipment manufacturing monitoring, and deliver and install on site. Identify and resolve issues raised by the cross-functional teams.
- Update and maintain the internal design specifications, drawings, and standards in accordance with the latest configurations.
- Provide and prepare documents including statement of work, engineering reports, design documents, total cost of ownership analysis, drawing markup, budget, schedule, commissioning documents.
- Develop next generation mechanical system products to meet company long-term strategies.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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